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Mahowald, Kyle; Kachergis, George; Frank, Michael C. – First Language, 2020
Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…
Descriptors: Models, Language Processing, Computational Linguistics, Language Acquisition
Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
Ambridge, Ben – First Language, 2020
The goal of this article is to make the case for a radical exemplar account of child language acquisition, under which unwitnessed forms are produced and comprehended by on-the-fly analogy across multiple stored exemplars, weighted by their degree of similarity to the target with regard to the task at hand. Across the domains of (1) word meanings,…
Descriptors: Language Acquisition, Morphology (Languages), Phonetics, Phonology
Areas Da Luz Fontes, Ana B.; Schwartz, Ana I. – Language and Cognitive Processes, 2010
We examined whether bilinguals' conceptual representation of homonyms in one language are influenced by meanings in the other. One hundred and seventeen Spanish-English bilinguals generated sentences for 62 English homonyms that were also cognates with Spanish and which shared at least one meaning with Spanish (e.g., plane/"plano"). Production…
Descriptors: Sentences, Figurative Language, Monolingualism, Probability